International Journal of Digital Health最新文献

{"title":"Envisioning digital health for older adults: a polychronic disease approach","authors":"Bernard P. Chang, Eric Tam, Pedro K. Villas Boas, Lindsay Tullis, Felipe Lopes, James Li","doi":"10.1097/jh9.0000000000000007","DOIUrl":"https://doi.org/10.1097/jh9.0000000000000007","url":null,"abstract":"","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"77 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement of a probiotics practice reference database for healthcare professionals","authors":"Brigitta D. Budijono, Christine P. Lim, Adison Dai Yong Goh, Eng-Hui Chew, K. Yap","doi":"10.1097/jh9.0000000000000002","DOIUrl":"https://doi.org/10.1097/jh9.0000000000000002","url":null,"abstract":"A probiotics practice reference database (https://bit.ly/sg-probiotics-ref) compiling probiotic products and clinical evidence on probiotics’ efficacy was previously developed to help healthcare professionals (HCPs) in making appropriate probiotic recommendations. This database has been enhanced and updated to contain published clinical studies after 2019 and probiotic products from multiple retail stores. A further 275 study excerpts and 304 products were newly added, thus resulting in the updated database containing a total of 859 study excerpts, 753 products and 5708 product-study links. The database was also enhanced with new features to improve search flexibility. A pilot evaluation of the database among 25 hospital and community pharmacists showed that the majority agreed that the database provided complete, comprehensive and relevant information on probiotic products and indications (72–92%), was useful and applicable to local practice (64–88%) and was user-friendly (92–100%). In addition, most indicated that they would recommend the database to others and continue to use it for probiotics information (96% each). Our findings showed potential in the database being used as an evidence-based resource for HCPs practice. Future work will aim to expand on and validate the database content, as well as evaluate its application among other groups of HCPs.","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130199516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Web and Mobile Apps for Monitoring of Childhood Physical Activity","authors":"R. Sharif, H. Zafar, A. Vellinga, G. Flaherty, F. Sharif","doi":"10.29337/ijdh.42","DOIUrl":"https://doi.org/10.29337/ijdh.42","url":null,"abstract":"","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116830287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Overview of Healthcare Information Technologies Used to Combat the COVID-19 Pandemic in China","authors":"Jilan Liu, Zhimou Wang, Siyu Huang, Anjie Ren","doi":"10.29337/IJDH.37","DOIUrl":"https://doi.org/10.29337/IJDH.37","url":null,"abstract":"This article describes the rapid development and deployment of healthcare information technologies (HIT) in response to COVID-19 from late January through March 2020 in China. It outlines the broad scope and in-depth penetration of various products and services, as well as the impacts that these products/services had in reaching the mass population for effective information dissemination, contact tracing, early diagnosis, virtual care, teleconsultation, social distancing and community outreach and support. The article also describes the rapid development of new infrastructures and the exponential growth of usage in the various technologies. Combined with other measures, HIT have played a crucial role in China through galvanizing public response in solidarity and achieving a massive scale of contact-tracing and interventions in a personalized manner.","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131723112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Qualitative Evaluation of the Use of Facial Recognition Technology for Opioid Substitution Treatment in Community Pharmacies","authors":"S. Reddy, Max Mito, Mark Feldschuh","doi":"10.29337/ijdh.47","DOIUrl":"https://doi.org/10.29337/ijdh.47","url":null,"abstract":"","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Health Technologies for Medical Devices – Real World Evidence Collection – Challenges and Solutions Towards Clinical Evidence","authors":"Amy Lewis, V. Valla, P. Charitou, Anna Karapatsia, Angeliki Koukoura, Konstantina Tzelepi, Jon I. Bergsteinsson, M. Ouzounelli, E. Vassiliadis","doi":"10.29337/ijdh.49","DOIUrl":"https://doi.org/10.29337/ijdh.49","url":null,"abstract":"The need for sufficient clinical evidence and the collection of real-world evidence (RWE) is at the forefront of medical device and drug regulations, however, the collection of clinical data can be a time consuming and costly process. The advancement of Digital Health Technologies (DHTs) is transforming the way health data can be collected, analysed, and shared, presenting an opportunity for the implementation of DHTs in clinical research to aid with obtaining clinical evidence, particularly RWE. DHTs can provide a more efficient and timely way of collecting numerous types of clinical data (e.g., physiological, and behavioural data) and can be beneficial with regards to participant recruitment, data management and cost reduction. Recent guidelines and regulations on the use of RWE within regulatory decision-making processes opens the door for the wider implementation of DHTs. However, challenges and concerns remain regarding the use of DHT (such as data security and privacy). Nevertheless, the implementation of DHT in clinical research presents a promising opportunity for providing meaningful and patient-centred data to aid with","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132680509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Machine Learning Pipeline for Mortality Prediction in the ICU","authors":"Y. Sun, Yi‐Hui Zhou","doi":"10.29337/ijdh.44","DOIUrl":"https://doi.org/10.29337/ijdh.44","url":null,"abstract":"Mortality risk prediction for patients admitted into the intensive care unit (ICU) is a crucial and challenging task, so that clinicians are able to respond with timely and appropriate clinical intervention. This becomes more urgent under the background of COVID-19 as a global pandemic. In recent years, electronic health records (EHR) have been widely adopted, and have the potential to greatly improve clinical services and diagnostics. However, the large proportion of missing data in EHR poses challenges that may reduce the accuracy of prediction methods. We propose a cohort study that builds a pipeline that extracts ICD-9 codes and laboratory tests from public available electronic ICU databases, and improve the in-hospital mortality prediction accuracy using a combination of neural network missing data imputation approach and decision tree based outcome prediction algorithm. We show the proposed approach achieves a higher area under the ROC curve, ranging from 0.88-0.98, compared with other well-known machine learning methods applied to similar target population. It also offers clinical interpretations through variable selection. Our analysis also shows that mortality prediction for neonates was more challenging than for adults, and that prediction accuracy decreases as patients stayed longer in the ICU.","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131860996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of Real-World Evidence for International Regulatory Decision Making in Medical Devices","authors":"Vicky Valla, Konstantina Tzelepi, P. Charitou, Amy Lewis, Benjamin Polatidis, Angeliki Koukoura, Anna Karapatsia, K. Antonopoulou, K. Prodromidou, E. Papadaki, E. Vassiliadis","doi":"10.29337/ijdh.50","DOIUrl":"https://doi.org/10.29337/ijdh.50","url":null,"abstract":"","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126236374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Three-Dimensional (3D) Virtual Reality Apprenticeship Program (VRx) for Training of Medication Safety Practices","authors":"W. Y. Tsang, P. Fan, Shakunthala D/O Hans Raj, Zee Jian Tan, Irvin Yong Yang Lee, I. Boo, K. Yap","doi":"10.29337/ijdh.45","DOIUrl":"https://doi.org/10.29337/ijdh.45","url":null,"abstract":"Background: Medication errors is a top concern for patient safety globally. Healthcare staff need to be competent in skillsets in medication safety practices. COVID-19 has negatively impacted programs with on-the-job training. Virtual reality (VR) provides an attractive way to conduct such training. We developed a virtual apprenticeship program (called VRx) for the training of medication safety practices. Methods: VRx was developed in a three-dimensional virtual environment whereby trainees had to complete a series of key competency tasks in prescription processing, pharmaceutical calculations, and preparing, picking, packing and dispensing medications. Pilot testing involved two phases – an alpha-test (Ph1) with 30 pharmacy staff/trainees and a roll-out (Ph2) to 43 new hires at our institution. Participants rated their awareness of VR and perceptions of their training experience through an online self-administered questionnaire. Descriptive statistics and Chi-squared/Fisher’s Exact tests were used for analysis. Results: Over half of participants were slightly aware of VR (Ph1 = 63.3%, Ph2 = 67.4%). One-quarter was aware of and had used VR (Ph1 = 26.7%, Ph2 = 25.6%). Majority agreed that VRx was easy to use (Ph1 = 83.3%, Ph2 = 72.1%), interactive and fun (Ph1 = 90.0%, Ph2 = 79.1%), and helped them develop prescription processing skills (Ph1 = 90.0%, Ph2 = 86.0%). More participants who were slightly aware of VR indicated that VRx was easy to use (94.7% versus 33.3% not aware of VR, p = 0.038, Ph1). Over half felt that the time spent on VRx training was acceptable, and that VRx should be part of their training (Ph1 = 80.0%, Ph2 = 67.4% each). More participants who were aware of and had used VR indicated that VRx should be part of their training (100% versus 55.2% slightly aware, p = 0.007, Ph2). Conclusion: Overall, pharmacy staff/trainees found VRx to provide a realistic, engaging and interactive experience to acquire proficiencies in medication safety practices. VRx can complement the training and assessment needs of pharmacy staff/trainees at our institution. 2 Tsang et al. International Journal of Digital Health DOI: 10.29337/ijdh.45","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129524917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systemised Approach to Smart Pump Integration with an Electronic Medical Record System – An Australian Experience","authors":"Madonna Dixon, Amelia Rattle, Yen Nie Yeoh, Ubai Hamid, Julie Ngo, V. Khalil","doi":"10.29337/ijdh.43","DOIUrl":"https://doi.org/10.29337/ijdh.43","url":null,"abstract":"","PeriodicalId":372681,"journal":{"name":"International Journal of Digital Health","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}